A World unto Itself: Human Communication as Active Inference
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Abstract (arXiv)
Work in developmental psychology suggests that humans are predisposed to align their mental states with other individuals. This manifests principally in cooperative communication, that is, intentional communication geared towards aligning mental states. This viewpoint has received ample empirical support. However, this view lacks a formal grounding, and provides no precise neuroscientific hypotheses. To remedy this, we suggest an active inference approach to cooperative communication. We suggest that humans appear to possess an evolved adaptive prior belief that their mental states are aligned with those of conspecifics. Cooperative communication emerges as the principal means to gather evidence for this belief. Our approach has implications for the study of the usage, ontogeny, and cultural evolution of human communication.
Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). First posted on arXiv 25 Jun 2019.
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Citing papers per year: 2021: 1; 2022: 2; 2023: 1; 2024: 2; 2025: 3; 2026: 2.
11 papers.
- 2022Designing Ecosystems of Intelligence from First Principlescited by 23
- 2024Generative Emergent Communication: Large Language Model is a Collective World Modelcited by 15
- 2022Natural Language Syntax Complies with the Free-Energy Principlecited by 7
- 2021An active inference model of collective intelligencecited by 3
- 2025Algorithmic Prompt Generation for Diverse Human-like Teaming and Communication with Large Language Modelscited by 1
- 2025On the Variational Costs of Changing Our Mindscited by 1
- 2026Resolving space-sharing conflicts in road user interactions through uncertainty reduction: An active inference-based computational modelcited by 1
- 2023On Computational Mechanisms for Shared Intentionality, and Speculation on Rationality and Consciousnesscited by 0
- 2024CogNarr Ecosystem: Facilitating Group Cognition at Scalecited by 0
- 2025Coordination Requires Simplification: Thermodynamic Bounds on Multi-Objective Compromise in Natural and Artificial Intelligencecited by 0
- 2026Active Inference: A method for Phenotyping Agency in AI systems?cited by 0
- 2026Active Inference: A method for Phenotyping Agency in AI systems?25 Apr 2026
- 2026Resolving space-sharing conflicts in road user interactions through uncertainty reduction: An active inference-based computational model21 Apr 2026
- 2025Coordination Requires Simplification: Thermodynamic Bounds on Multi-Objective Compromise in Natural and Artificial Intelligence27 Sep 2025
- 2025On the Variational Costs of Changing Our Minds22 Sep 2025
- 2025Algorithmic Prompt Generation for Diverse Human-like Teaming and Communication with Large Language Models4 Apr 2025
- 2024Generative Emergent Communication: Large Language Model is a Collective World Model31 Dec 2024
- 2024CogNarr Ecosystem: Facilitating Group Cognition at Scale11 Jul 2024
- 2023On Computational Mechanisms for Shared Intentionality, and Speculation on Rationality and Consciousness3 Jun 2023
- 2022Designing Ecosystems of Intelligence from First Principles2 Dec 2022
- 2022Natural Language Syntax Complies with the Free-Energy Principle27 Oct 2022
- 2021An active inference model of collective intelligence2 Apr 2021